That is not true: you do not need to transform image to grayscale. Any
image is at the end binarized (if input image is not binarized) by
tesseract (Otsu).

BUT: preprocessing image (e.g. custom binarization) will help. See
https://github.com/tesseract-ocr/tesseract/wiki/ImproveQuality

Zdenko


st 30. 1. 2019 o 7:36 <[email protected]> napĂ­sal(a):

> Not a solution, but the image needs to be transformed into grayscaleetc,
> (using Open CV) since OCR works best with grayed images and images which
> have size of 300 dpi
>
> On Tuesday, June 12, 2018 at 12:44:21 PM UTC+5:30, Vidur Malhotra wrote:
>>
>> I tried running the tesseract on the attached image. But not getting the
>> desired output. My sample code:
>>
>>
>> import PIL
>> from PIL import Image
>> import pytesseract
>>
>> text = pytesseract.image_to_string(Image.open('test3.jpg'), lang='eng')
>> print(text)
>>
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